Dynamical glucometry: Use of multiscale entropy analysis in diabetes-Reference-Cited by-同舟云学术

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Dynamical glucometry: Use of multiscale entropy analysis in diabetes

Published:2014-09 Issue:3 Volume:24 Page:033139
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Costa Madalena D.¹²,Henriques Teresa¹³,Munshi Medha N.²⁴,Segal Alissa R.⁴⁵,Goldberger Ary L.¹²

Affiliation:

1. The Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, Massachusetts 02115, USA

2. Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts 02215, USA

3. Center for Research in Health Technologies and Information Systems (CINTESIS), Porto, Portugal and Instituto de Telecomunicações, Porto, Portugal

4. Joslin Diabetes Center, Boston, Massachusetts 02215, USA

5. MCPHS University, Boston, Massachusetts 02215, USA

Funder

National Institute of General Medical Sciences (NIGMS)

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.4894537

Reference21 articles.

1. Diagnosis and Classification of Diabetes Mellitus

2. Standards of Medical Care in Diabetes—2014

3. Long-range negative correlation of glucose dynamics in humans and its breakdown in diabetes mellitus

4. Long-range Correlated Glucose Fluctuations in Diabetes

5. Detrended Fluctuation Analysis Is Considered to Be Useful as a New Indicator for Short-Term Glucose Complexity

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2. The complexity of glucose time series is associated with short- and long-term mortality in critically ill adults: a multi-center, prospective, observational study;Journal of Endocrinological Investigation;2024-05-18

3. Associations between complexity of glucose time series and cognitive function in adults with type 2 diabetes;Diabetes, Obesity and Metabolism;2023-11-23

4. Improved Detection of Decreased Glucose Handling Capacities via Novel Continuous Glucose Monitoring-Derived Indices: AC_Mean and AC_Var;2023-09-19

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